Potentially Preventable Readmission (PPR) rates for New York hospitals reveal facility-level performance on a key quality indicator. The dataset provides observed, expected, and risk-adjusted PPR rates for all payer beneficiaries. It is published by the New York State Department of Health via health.data.ny.gov, with records beginning in 2009.
Use Cases
- Benchmarking Observed PPR Rate and Risk Adjusted PPR Rate against Expected PPR Rate to identify over- or under-performing hospitals.
- Analyzing temporal trends in readmission metrics by grouping data by Discharge Year and Facility Name.
- Investigating regional disparities in care quality by aggregating metrics by Hospital County.
- Modeling the relationship between At Risk Admissions and Observed PPR Chains to understand patient volume impact.
- Tracking changes in reporting methodology over time using the Software Version field.
Strengths
- Provides three distinct PPR metrics (Observed, Expected, Risk Adjusted) per record for detailed analysis.
- Contains data spanning multiple years, beginning in 2009, enabling longitudinal study.
- Includes facility identifiers (Facility ID, Facility Name) and geographic context (Hospital County) for precise grouping.
Limitations
- Sample size and total row count are unknown, limiting assessment of statistical power.
- The specific calculation methodology for Expected PPR Rate and risk adjustment is not detailed in the provided metadata.
- Data is limited to New York State, which may not be generalizable to other regions.
Provenance
- Source
- New York State Department of Health (health.data.ny.gov).
- Collection Method
- Derived from the Statewide Planning and Research Cooperative System (SPARCS) hospital discharge data.
- Time Range
- Beginning 2009.
- Freshness
- Updated as of April 2025.
- Geography
- New York State, United States.